Conduct structured interviews with the user. Use when multiple decisions need user input: ask ONE question at a time, wait for response, record answer, then proceed to next question.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Conduct structured interviews with the user. Use when multiple decisions need user input: ask ONE question at a time, wait for response, record answer, then proceed to next question.
Produce a thorough plan before implementation. Use for planning tasks: clarify unknowns, create plan iterations based on confidence level, validate each, then finalize.
Pre-commit and pre-merge validation checks. Use before committing changes or declaring work complete to ensure all quality gates pass.
Evaluate how well a codebase supports autonomous agent execution based on the "How to Get Out of Your Agent's Way" principles.
A two-phase repair skill that analyzes errors and suggests fixes before executing repairs. Phase one: user describes error, agent analyzes and proposes solution. Phase two: upon approval, executes the repair action.
Create and structure Claude Code agent skills. Use when the user wants to create a new skill, write an agent skill, make a claude skill, or asks about SKILL.md files.
This workflow enables you to transition from manual implementation to high-level system architecture by managing autonomous AI agents (like Devin) as "junior buddies." By shifting implementation to ag
Knowledge base for orchestrating multi-phase workflow executions with standardized folder structures and agent delegation.
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.
Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time. Covers align + m() + aggregate pattern, summary vs time-series output, and common aggregation functions. For percentile metrics (tdigest), see analyzing-tdigest-metrics skill.
Orchestrate multiple worker agents to implement groomed tasks. Use when multiple ready tasks need implementation, when you want autonomous multi-task execution, or when coordinating batch development work. Keywords: coordinator, orchestrator, multi-task, parallel, workers, batch, autonomous.
Agile product ownership toolkit for Senior Product Owner including INVEST-compliant user story generation, sprint planning, backlog management, and velocity tracking. Use for story writing, sprint planning, stakeholder communication, and agile ceremonies.
Эксперт по оркестрации AI агентов. Используй для multi-agent systems, agent coordination, task delegation и agent workflows.
Use when deciding between HITL, OHOTL, and AHOTL modes in AI-DLC workflows. Covers decision frameworks for human involvement levels and mode transitions.
ai-ml-engineer
Proactively manage development tasks in TASKS.md. Automatically tracks progress, updates status, prioritizes backlog, and estimates effort. Runs in background during development - no explicit invocation needed.
In the AI era, product market fit must be constantly "refounded." This framework moves teams away from "blunt instruments" (long roadmaps, rigid PRDs) toward a high-velocity, hands-on approach where t
Use when analyzing stakeholder psychology for negotiations, proposals, or persuasion. Creates research-backed personas revealing hidden motivations.
AI Questioning Pattern (MANDATORY)
Takes any text and rewrites it to remove common AI writing patterns, making it sound authentically human. Returns only the cleaned final version.
Leverage AI tools effectively for professional writing tasks. Provides prompt patterns, refinement workflows, voice preservation techniques, and quality checkpoints for AI-augmented drafting.
Farm out AI tasks via Named Pipe to get isolated context. Use when processing large files, batch summarization, or to avoid context pollution. Each call runs in fresh context.
Farm out AI tasks via Named Pipe to get isolated context. Use when processing large files, batch summarization, or to avoid context pollution. Each call runs in fresh context.
Expert Alamofire decisions for iOS/tvOS: when Alamofire adds value vs URLSession suffices, interceptor chain design trade-offs, retry strategy selection, and certificate pinning considerations. Use when designing network layer, implementing auth token refresh, or choosing between networking approaches. Trigger keywords: Alamofire, URLSession, interceptor, RequestAdapter, RequestRetrier, certificate pinning, Session, network layer, token refresh, retry
Critical syntax rules for Algorand TypeScript (PuyaTs) that prevent compiler errors and runtime failures.
You are a shell alias manager for this dotfiles repository. Help manage aliases in the `.aliases` file with care and precision.
Use when starting a new feature - running /alto-feature-setup, updating objective.md, or running alto-new-run. Interactive workflow for feature initialization.
{ONE_SENTENCE_PURPOSE}. Use when {TRIGGER_CONDITION}.
Score composed artifacts against blueprint rubric. Evaluates hook density, singability, rhyme tightness, section completeness, and profanity compliance. Returns scores and issues list to determine if fix loop is needed. Use after COMPOSE to validate artifacts before rendering.
Define the scope of analytics efforts by identifying relevant metrics, data sources, and analysis approaches. Use when framing pilot analysis questions, selecting KPIs, or aligning data feeds to business objectives and stakeholder needs.
用跨資產訊號(全球股市韌性 + 中國利率環境)評估銅價能否突破關卡或進入「回補/回踩」到支撐的機率與路徑。
用公開資料量化「銅供應是否過度集中、主要產地是否結構性衰退、替代增量是否依賴少數國家」,並輸出可行的中期供應風險結論與情境推演。
把「獲利成長 × 財務狀況(金融環境)」映射成「投資時鐘」,判斷目前落在哪個象限、近期是順時針還是逆時針旋轉、以及相對於上一輪循環的位置差異。
Analyze codebase size and language distribution using cloc. Use when user wants to understand codebase scale, primary languages, code composition, or assess project complexity. Provides total LOC, size category, language breakdown percentages, and key insights.
Analyze complete email thread with conversation context, timeline, participants, and attachments tracking.
You are an expert in recognizing software design patterns, architectural patterns, and code organization strategies. This skill provides systematic pattern analysis to identify recurring structures, c
Reconstruct ancestral sequences at phylogenetic nodes using PAML and IQ-TREE marginal likelihood methods. Infer ancient protein sequences and trace evolutionary trajectories through sequence history. Use when inferring ancestral states for protein resurrection or tracing evolutionary history.
Start Android screen mirroring using scrcpy. Displays device screen in real-time on Mac with optional console logs. Use when viewing Android screen, mirroring device, or monitoring app with logs.
android-workflow
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Deploy Expo apps to production
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
복잡한 앱 기능 요청을 체계적인 5단계 워크플로우로 관리하는 오케스트레이터입니다.
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architecture-validate-srp
Dynamically validate codebase compliance with architectural decisions and constraints
Master Archon MCP for strategic project management, task tracking, and knowledge base operations. The strategic layer (WHAT/WHEN) that coordinates with Skills (HOW). Use when managing projects, tracking tasks, querying knowledge bases, or implementing the Archon+Skills two-layer architecture.
Explicit tracking, validation, and failure planning for project assumptions. Reference for managing assumptions throughout project lifecycle.
Manage Streams and Timers with AsyncRedux. Covers creating actions to start/stop streams, storing stream subscriptions in store props, dispatching actions from stream callbacks, and proper cleanup with disposeProps().
Coordinate Claude Code skills with OpenAI Codex autonomous workflows for end-to-end ATFT-GAT-FAN maintenance.